Aomori
First-level unit, Japan: people, area, the units inside and neighbours, with risk values when released.
Inside Aomori
The 40 ADM2 units of Aomori.
People, area and density
Source observations from open grids summed inside the boundary; not index values.
1,146,175
1% of Japan.
1,092,406
-5% against GHSL; the two grids differ in method.
9,631 km²
119 people per km².
JP-02
Subdivision code as carried by the boundary source.
243,823
people on land at or below 10 m, 21.3% of the unit (GEBCO 2024 and GHSL 2025).
40 units inside Aomori
Each unit has its own page.
Boundary licences: Open Data Commons Open Database License 1.0 · Creative Commons Attribution-ShareAlike 2.0.
| Unit | Code | People (GHSL) | People (WorldPop) | Area km² | Per km² | Share | Coast ≤ 10 m |
|---|---|---|---|---|---|---|---|
| Ajigasawa | – | 8,890 | 6,384 | 342.84 | 26 | 0.8% | 538 |
| Aomori | – | 250,398 | 240,044 | 823.75 | 304 | 21.6% | 105,379 |
| Fujisaki | – | 9,501 | 9,080 | 37.3 | 255 | 0.8% | 0 |
| Fukaura | – | 3,887 | 2,899 | 488.18 | 8 | 0.3% | 29 |
| Gonohe | – | 14,607 | 12,815 | 177.5 | 82 | 1.3% | 0 |
| Goshogawara | – | 53,118 | 45,334 | 404 | 131 | 4.6% | 27,910 |
| Hachinohe | – | 207,000 | 219,440 | 304.21 | 680 | 17.8% | 57,482 |
| Hashikami | – | 12,074 | 12,861 | 93.82 | 129 | 1% | 0 |
| Higashidoori | – | 5,456 | 4,337 | 295.34 | 18 | 0.5% | 194 |
| Hirakawa | – | 52,145 | 49,351 | 345.69 | 151 | 4.5% | 0 |
| Hiranai | – | 9,270 | 7,204 | 216.16 | 43 | 0.8% | 803 |
| Hirosaki | – | 148,203 | 153,377 | 522.89 | 283 | 12.8% | 0 |
| Imabetsu | – | 2,558 | 1,563 | 125.03 | 20 | 0.2% | 92 |
| Inakadate | – | 14,106 | 14,758 | 22.19 | 636 | 1.2% | 0 |
| Itayanagi | – | 17,316 | 14,191 | 41.64 | 416 | 1.5% | 108 |
| Kazamaura | – | 1,296 | 684 | 69.32 | 19 | 0.1% | 3 |
| Kuroishi | – | 27,104 | 24,485 | 216.8 | 125 | 2.3% | 0 |
| Misawa | – | 41,492 | 42,900 | 120.54 | 344 | 3.6% | 1,268 |
| Mutsu | – | 32,669 | 30,808 | 861.56 | 38 | 2.8% | 10,440 |
| Nakadomari | – | 13,504 | 9,193 | 215.83 | 63 | 1.2% | 5,392 |
| Nanbu | – | 16,761 | 13,466 | 152.82 | 110 | 1.4% | 0 |
| Nishimeya | – | 1,172 | 819 | 246.07 | 5 | 0.1% | 0 |
| Noheji | – | 1,494 | 1,520 | 82.29 | 18 | 0.1% | 17 |
| Oirase | – | 9,128 | 10,650 | 71.53 | 128 | 0.8% | 700 |
| Ooma | – | 5,387 | 3,468 | 51.68 | 104 | 0.5% | 354 |
| Owani | – | 9,000 | 6,516 | 163.11 | 55 | 0.8% | 0 |
| Rokkasho | – | 10,193 | 9,216 | 252.96 | 40 | 0.9% | 1,048 |
| Rokunohe | – | 15,002 | 16,565 | 83.85 | 179 | 1.3% | 415 |
| Sai | – | 1,626 | 1,090 | 135.13 | 12 | 0.1% | 21 |
| Sannohe | – | 13,050 | 9,433 | 151.79 | 86 | 1.1% | 0 |
| Shichinohe | – | 11,365 | 9,706 | 336.77 | 34 | 1% | 238 |
| Shingo | – | 2,920 | 2,101 | 150.61 | 19 | 0.3% | 0 |
| Sotogahama | – | 3,460 | 2,230 | 229.51 | 15 | 0.3% | 43 |
| Takko | – | 3,311 | 2,491 | 241.45 | 14 | 0.3% | 0 |
| Tohoku | – | 19,617 | 17,162 | 325.51 | 60 | 1.7% | 4,277 |
| Towada | – | 60,498 | 57,255 | 721.2 | 84 | 5.2% | 0 |
| Tsugaru | – | 26,791 | 20,101 | 254.15 | 105 | 2.3% | 14,540 |
| Tsuruta | – | 19,561 | 17,185 | 46.49 | 421 | 1.7% | 9,243 |
| Yokohama | – | 2,310 | 2,221 | 126.42 | 18 | 0.2% | 24 |
| Yomogita | – | 3,500 | 2,490 | 80.86 | 43 | 0.3% | 540 |
Open exposure layers
Count of H3 resolution-3 cells whose centre falls in the unit and that carry each Natural Earth layer.
- Urban areas
- 368.8 H3 cells
- বন্দর
- 1 H3 cells
- বিমানবন্দর
- None at this resolution
- Major roads
- 290.4 H3 cells
- রেলপথ
- 229.5 H3 cells
- Rivers and lakes
- None at this resolution
Risk values
Sources, credits and licences
- ADM1 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen JPN ADM1, source: OpenStreetMap, Wambacher © OpenStreetMap contributors, licence: Open Data Commons Open Database License 1.0 (share-alike: this boundary layer is offered under the same licence) · source · represents 2017. Offered under the same licence (Open Data Commons Open Database License 1.0), kept as its own layer and not merged into other data.
- ADM2 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen JPN ADM2, source: OpenStreetMap, Wambacher © OpenStreetMap contributors, licence: Creative Commons Attribution-ShareAlike 2.0 (share-alike: this boundary layer is offered under the same licence) · source · represents 2017. Offered under the same licence (Creative Commons Attribution-ShareAlike 2.0), kept as its own layer and not merged into other data.
- Basemap
- OpenFreeMap © OpenMapTiles (CC BY 4.0) · data © OpenStreetMap contributors (ODbL 1.0). Vector tiles requested by the reader’s browser, unmodified; the map falls back to plain land and sea when the host does not answer.
- Terrain
- Terrain Tiles (Mapzen, AWS Open Data), compiled from SRTM and other public elevation sources (NASA, USGS, ETOPO1, GMTED, EU-DEM under the Copernicus programme, Geoscience Australia, Kartverket, INEGI, LINZ, data.gov.uk). Display relief, not survey data.
- People
- GHSL 2025 population grid, European Commission Joint Research Centre (CC BY 4.0), shown at 0.05° and summed per unit; WorldPop 2025 (CC BY 4.0) as a second estimate. Units smaller than a grid cell take the density of the cell under them.
- দেশ
- Natural Earth (public domain).
- Elevation
- GEBCO Compilation Group (2024) GEBCO 2024 Grid (public domain), reduced to 0.05°: the share of each cell’s land at or below 10 m, weighted by GHSL 2025 people for the low coastal zone.
- Position
- Boundaries are shown for location only and take no position on any boundary, name or status.
অবস্থা
The methodology, structure and definitions of The Global Risks Index are a preparatory working draft (2026), circulated for review and comment and not for implementation. No value appears until an edition is released from a governed evidence cut; values then carry intervals, classes, sources and their correction pathway. Simulators run the published methods on numbers you choose and never show a NXS-GRX value.
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NXS-GRX যা নয়
NXS-GRX গবেষণা ও ঝুঁকি-বিশ্লেষণ তথ্য। এটি ঋণ বা ESG রেটিং নয় এবং কোনো রেটিং স্কেল ব্যবহার করে না; এটি আর্থিক উপকরণের বেঞ্চমার্ক নয়, সরকারি পরিসংখ্যান নয়, জরুরি সতর্কবার্তা বা সরকারি শ্রেণিবিভাগ নয় এবং পরামর্শ নয়। প্রাকৃতিক ব্যক্তিদের মূল্যায়নে এটি ব্যবহার করা যাবে না। ঝুঁকির শ্রেণি হলো একটি প্রকাশিত স্কেলের ব্যান্ড, কখনো দেশ বা মানুষের র্যাংকিং নয়।
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Avis en français
La méthodologie et les définitions du NXS-GRX sont un projet de travail préparatoire (2026). Le NXS-GRX est une information de recherche et d’analyse des risques : ni notation, ni indice de référence financier, ni statistique officielle, ni alerte, ni conseil. Les classes de risque sont des bandes sur une échelle publiée, non des classements.